2014-06-302014-06-302006-03-05RUÉLA, Aldenize de Lima. Deconvolução de perfis de poço através de rede neural recorrente. 2006. 60 f. Dissertação (Mestrado) - Universidade Federal do Pará, Centro de Geociências, Belém, 2006. Curso de Pós-Graduação em Geofísica.https://repositorio.ufpa.br/handle/2011/5195For oil industry, the logs analysis is the main information source about the presence and quantification of hydrocarbon in subsurface. However, in two situations the new logging technologies are not economically viable and conventional logging tools must be used: The reevaluation of mature oil fields and evaluation of marginal oil fields. In conventional logs its data acquisition procedure may blur the value of physical property and the vertical limits of a rock layer. We are talking about an old problem in well logging – The paradox between vertical resolution and depth of investigation of a logging tool. Nowadays it is well handling by the high technology of new tools, but this problem persists in conventional old tools, e.g. natural gamma ray log (GR). Here, we present a method to smooth this kind of linear distortion in well logs by an integration of classical well log convolution model with recurrent neural networks. We assume that a well log can be well represented by an in depth convolution operation between the variation of rock physical property (ideal log) and a function that causes the distortion, called as vertical tool response. Thus, we develop an iterative data processing, which acts as a deconvolution operation, composed by three recurrent neural networks. The first one seeks to estimate the vertical tool response; the second one search for the vertical limits definition of each rock layer and the last one is constructed to estimate the actual physical property. To start this process we supply an appropriated first guess of ideal log and vertical tool response. Finally, we show the improvements in vertical resolution and in the physical property evaluation produced by this methodology in synthetic logs and actual well log data from Lagunillas formation, Maracaibo basin, Venezuela.porAcesso AbertoGeofísicaPerfilagem geofísica de poçosRedes neurais (Computação)DissertaçãoCNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEOFISICA::GEOFISICA APLICADA